Multi-level Association Based 3D Multiple-Object Tracking Framework for Self-driving Cars
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3758-5_32
Reference18 articles.
1. Wojke N, Bewley A, Paulus D (2017) Simple online and realtime tracking with a deep association metric. In: 2017 IEEE international conference on image processing (ICIP). IEEE, pp 3645–3649
2. Zhang W, Zhou H, Sun S, Wang Z, Shi J, Loy CC (2019) Robust multi-modality multi-object tracking. In: Proceedings of the IEEE/CVF international conference on computer vision, pp 2365–2374
3. Bergmann P, Meinhardt T, Leal-Taixe L (2019) Tracking without bells and whistles. In: Proceedings of the IEEE/CVF international conference on computer vision, pp 941–951
4. Kim A, Ošep A, Leal-Taixé L (2021) Eagermot: 3D multi-object tracking via sensor fusion. In: 2021 IEEE international conference on robotics and automation (ICRA). IEEE), pp 11315–11321
5. Bochinski E, Senst T, Sikora T (2018) Extending IOU based multi-object tracking by visual information. In: 2018 15th IEEE international conference on advanced video and signal based surveillance (AVSS). IEEE, pp 1–6
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